Project Coordinator: Dr. Eng. Radu Marius BONCEA – Scientific Researcher III

Overall objectives of the project

• elaboration of studies on current research in modeling of complex problems in ICT actual fields of research;
• development of methodologies for integrated solutions in data acquisition and analysis in complex systems;
• elaboration of models and algorithms for complex problems based on optimization, multi-criteria analysis and graph theory;
• development of algorithms and software for elaborated models. Validation of models through case studies;
• performing sensitivity analysis. Functional testing and validation with real data (provided by the ICIPRO cloud solution and the .ro Internet Domain Register) and test data;
• development of algorithms for NP-hard problems with applications.

Project description

The project focuses on developing a collection of new solutions to complex problems in actual areas of ICT research, based on modeling and optimization. New solutions mean new methods and models, methodologies, algorithms and software, as a result of complex problems modeling. The complex issues addressed by the project relate to: (a) increasing the reliability and security of complex systems, (b) the acquisition and analysis of quantitative data through integrated solutions, (c) improving energy efficiency in data centers, (d) optimal selection of cloud, product and energy services suppliers, (e) complex issues of NP hard graph theory and (f) data security in software systems for mobile devices.

Due to its scientific and technical content, the project is characterized by a high degree of complexity. The complexity results from the multidisciplinary nature of the project: combining classical modeling (decision theory, data mining, machine learning, multi-criteria analysis, optimization, graph theory) with current fields of application for smart devices, cloud computing, green data centers, wireless networks.

Results

• study on the acquisition and analysis of data from complex systems, optimization by modeling and complexity in graph theory;
• study on modeling complex problems in cloud computing, green data centers and supplier selection;
• methodology for the process of managing and ensuring data security within software systems for mobile devices;
• methodology (reference architecture) for an integrated solution for the acquisition and analysis of quantitative data provided by complex systems;
• models for optimizing the allocation of cloud resources and consolidating servers;
• multi-attribute decision methods for the optimal selection of cloud, energy and product service providers taking into account ecological and traditional criteria;
• algorithms for NP-hard problems;
• models for data and parameters analysis measured in complex systems in order to recognize patterns (patterns, computer signature) for various events that occur in the system;
• data mining and machine learning algorithms;
• multi-criteria analysis methods that take into account security features and indicators for mobile devices software systems;
• test software applications for mobile devices, vulnerable in terms of data security;
• algorithms applications for NP-hard problems;
• validation report of algorithms and models through case studies;
• case studies using real and test data;
• test report and software operation analysis with real and test data;
• specialized papers;
• project web page.